0.009 degrees
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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Spawning areas of whiting (Merlangius merlangus) in the Channel Sea - Modeled occurrence probability
January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.
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January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.